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Our group conducts neuroscience, neuroengineering, and translational research to better understand how the brain controls movement, and to design 
medical systems to assist people with movement disabilities.

Our neuroscience research investigates the neural basis of movement preparation and generation using a combination of electro-/opto-physiological 
(e.g., chronic electrode-array recordings and optogenetic stimulation), behavioral, computational and theoretical techniques (e.g., dynamical systems, 
dimensionality reduction, single-trial neural analyses). For example, how do neurons in premotor (PMd) and primary motor (M1) cortex plan and guide 
reaching arm movements?
Our neuroengineering research investigates the design of high-performance and robust neural prostheses. Neural prostheses are also known as 
brain-computer interfaces (BCIs) and brain-machine interfaces (BMIs). These systems translate neural activity from the brain into control signals 
for prosthetic devices, which can assist people with paralysis by restoring lost motor functions. This work includes statistical signal processing, 
machine learning, and real-time system modeling and implementation. For example, how can we design motor prostheses with performance 
rivaling the natural arm, or communication prostheses rivaling the throughput of spoken language?
Our translational research, including an FDA Phase-I clinical trial termed BrainGate2, are conducted as part of the the Neural Prosthetic Translational
Laboratory (NPTL). For example, how do pre-clinical laboratory designs actually work with people with paralysis in real-world settings?
Updated: 3 April 2015